Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing.
Bryon TjanakaMatthew C. FontaineAniruddha KalkarStefanos NikolaidisPublished in: CoRR (2022)
Keyphrases
- covariance matrix
- high dimensional
- covariance matrices
- sample size
- principal component analysis
- positive definite
- dimensionality reduction
- gaussian mixture
- mahalanobis distance
- eigendecomposition
- training set
- low dimensional
- training samples
- geometrical interpretation
- similarity search
- correlation matrix
- pseudo inverse
- multivariate gaussian
- high dimensional data
- feature space
- principal components
- simulated annealing
- eigenvalues and eigenvectors
- parameter space
- estimation error
- neural network
- distance measure
- data points
- search algorithm
- objective function
- genetic algorithm